Installing Kali Linux Tools in Ubuntu or Linux Mint

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Kali linux is a debian based and its not easy to configure it on a typical PC. If the machine is UEFI based, then Kali is tough to customize.

So what is the alternative....? Here is the answer: Katoolin

Its the name of the package system for installing the entire kali linux tools (Penetration Testing) in Ubuntu or Debian based system.

Here I am trying to install inside my Linux Mint

OS Used: Linux Mint 18.2 Sonya
Prequisites: Python 2.7
Always perform these steps after the installation of ubuntu or Linux Mint

$] sudo apt update
$] sudo apt install build-essential autoconf automake libxmu-dev
$] sudo apt install git
$] git clone https://github.com/LionSec/katoolin.git
$] sudo cp katoolin/katoolin.py /usr/bin/katoolin
$] sudo katoolin

This will give various options as shown below
 In the above pic. Select 2 to View categories and you will get the screen as shown in the next image.
Select "0" to install all the applications.

This will install 1.3G to download and 3.5 GB space will be…

Queuing Models in NS2

M/M/1 is a system with poisson arrival time, servicing exponentially and a queue of unlimited capacity and type of FIFO Queue. This is the simplest queuing system.  NS2 supports various distributions like pareto, exponential, constant, unifrom, etc to handle the network dynamics and metrics.
So it is very easy to test the given network link to monitor a given queue using any of these queuing models. The listing 3 and 4 are monitoring the link when DropTail queue is used with a capacity of finite and infinite.
Listing 13.3 uses infinite capacity and Listing 13.4 uses Finite capacity The output screen shot is shown below the scripts for further understanding

Listing 3 – M/M/1 Queuing Model
#new Simulator creation
set ns [new Simulator]
#trace file creation for capturing the UDP data
set tf [open out.tr w]
$ns trace-all $tf

#setting the exponential distribution param
set lambda 30.0
set mu     33.0

#creation of nodes
set n1 [$ns node]
set n2 [$ns node]
#The queue limit is 1Lakh as the capacity is infinite. Simulation will take # more time when the limit is increased.
set link [$ns simplex-link $n1 $n2 100kb 0ms DropTail]
$ns queue-limit $n1 $n2 100000

# generate random interarrival times and packet sizes
set InterArrivalTime [new RandomVariable/Exponential]
$InterArrivalTime set avg_ [expr 1/$lambda]
set pktSize [new RandomVariable/Exponential]
$pktSize set avg_ [expr 100000.0/(8*$mu)]

#create new agent UDP
set src [new Agent/UDP]
$ns attach-agent $n1 $src

# queue monitoring and send the output to queue.out file
set qmon [$ns monitor-queue $n1 $n2 [open queue.out w] 0.1]
$link queue-sample-timeout

proc finish {} {
    global ns tf
    $ns flush-trace
    close $tf
    exit 0
}

proc sendpacket {} {
    global ns src InterArrivalTime pktSize
    set time [$ns now]
    $ns at [expr $time + [$InterArrivalTime value]] "sendpacket"
    set bytes [expr round ([$pktSize value])]
    $src send $bytes
}

set sink [new Agent/Null]
$ns attach-agent $n2 $sink
$ns connect $src $sink
$ns at 0.0001 "sendpacket"
$ns at 1000.0 "finish"

$ns run
To see the output of the above script, execute the following in the terminal
Prompt] gawk '{ print $1, $4, $5, $6, $7, $8, $9, $10, $11 }' queue.out > qm.pre
Prompt] xgraph qm.pre -geometry 500x500 -t “MM1 Queuing Example”
Here is the output screen
Queuing models in ns2
Queuing models in ns2


In the above Listing 13.3, large buffers are used to avoid losses. One can use smaller buffers and observe losses. The way to compute the loss probability from the simulation is simply to divide the total number of losses by the total number of arrivals, both given in the last line of the monitor-queue file. The command
$src set packetSize_ 100000
may be added.
The loss may be computed using the formula
P = pow(p,k)/Pow(p,i);


Listing 4 – M/M/1 with Finite capacity
#create new simulator
set ns [new Simulator]
#open the trace file for capturing UDP
set tf [open out.tr w]
$ns trace-all $tf

#setting the parameters for Exponential distribution
set lambda   30.0
set mu       33.0
set qsize     2
set duration  2000

#creation of new nodes
set n1 [$ns node]
set n2 [$ns node]
#creation of link with queue
set link [$ns simplex-link $n1 $n2 100kb 0ms DropTail]
#setting the queue size as 2
$ns queue-limit $n1 $n2 $qsize

# generate random interarrival times and packet sizes
set InterArrivalTime [new RandomVariable/Exponential]
$InterArrivalTime set avg_ [expr 1/$lambda]
set pktSize [new RandomVariable/Exponential]
$pktSize set avg_ [expr 100000.0/(8*$mu)]

#creation of new UDP Agent
set src [new Agent/UDP]
$src set packetSize_ 100000
$ns attach-agent $n1 $src

#queue monitoring
set qmon [$ns monitor-queue $n1 $n2 [open queue1.out w] 0.1]
$link queue-sample-timeout

proc finish {} {
    global ns tf
    $ns flush-trace
    close $tf
    exit 0
}

proc sendpacket {} {
    global ns src InterArrivalTime pktSize
    set time [$ns now]
    $ns at [expr $time + [$InterArrivalTime value]] "sendpacket"
    set bytes [expr round ([$pktSize value])]
    $src send $bytes
}

set sink [new Agent/Null]
$ns attach-agent $n2 $sink
$ns connect $src $sink
$ns at 0.0001 "sendpacket"
$ns at $duration "finish"

$ns run
To see the output of the above script, execute the following in the terminal
Prompt] gawk '{ print $1, $4, $5, $6, $7, $8, $9, $10, $11 }' queue1.out > qm1.pre
Prompt] xgraph qm1.pre -geometry 500x500 -t “MM1 Queuing Example”
Here is the output screen
 
Queuing models in ns2
Queuing models in ns2

T S Pradeep Kumar

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